Instructions to use alchemist69/6690e5a4-fdf8-499b-838d-b159414d8d63 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alchemist69/6690e5a4-fdf8-499b-838d-b159414d8d63 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codegemma-2b") model = PeftModel.from_pretrained(base_model, "alchemist69/6690e5a4-fdf8-499b-838d-b159414d8d63") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from alchemist69/6690e5a4-fdf8-499b-838d-b159414d8d63: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/alchemist69/6690e5a4-fdf8-499b-838d-b159414d8d63/resolve/main/training_args.bin
- Command line
-
hf download hf://alchemist69/6690e5a4-fdf8-499b-838d-b159414d8d63/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/alchemist69/6690e5a4-fdf8-499b-838d-b159414d8d63/resolve/main/training_args.bin
6.84 kB
- Xet hash:
- 0c5d9010c56cc03667c9273c39fa02bc5093ba7ebd0e1eb70e16a55838b7c4b9
- Size of remote file:
- 6.84 kB
- SHA256:
- 704f8728ac04055f92f2e9e0187d0abd77e2a25575a216d2dd632d83bb6861e9
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